MATLAB: How to solve multiobjective optimization problem

Global Optimization Toolboxmultiobjective optimization

Dear all,

How can I solve the attched multiobjective optimization problem?

Best Answer

If you have Global Optimization Toolbox you can use paretosearch or gamultiobj to find a Pareto set for your problem. See Multiobjective Optimization. If you need help after reading the examples in that section, ask again.

Alan Weiss

MATLAB mathematical toolbox documentation

Related Solutions

MATLAB: Optimization of a function with constraints containing 15 variables

Do not use nonlinear constraint functions to effect linear constraints and bounds. Your first five nonlinear inequality constraints should be represented as bounds: x(1) through x(4) have lower bounds of 0, and x(15) has an upper bound of 0.3.

Similarly, your first six nonlinear equality constraints should be written as linear equality constraints.

Don't bother trying to optimize a smooth function with smooth constraints using ga. The solver of choice for such problems is fmincon.

Do x(13) and x(14) have to be between -0.25 and 0.25? If so, give these as bounds.

I suggest that you examine your problem carefully to see if you can bound each component, and then include the tightest bounds you can in the problem.

Good luck,

Alan Weiss

MATLAB mathematical toolbox documentation

MATLAB: Not enough input arguments. when using “gamultiobj”

   x = gamultiobj(fitnessfcn, nvars, A, b, Aeq, Beq, lb, ub, @(x) mycon(x, H));

http://www.mathworks.com/help/matlab/math/parameterizing-functions.html

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Related Solutions

MATLAB: Optimization of a function with constraints containing 15 variables

MATLAB: Not enough input arguments. when using “gamultiobj”

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